Moreover, we tested overlaps between expression modules; the p-value matrix in Figure 9 shows that, in each of the four clusters, the expression modules share a significantly large number of genes while there are little overlaps between expression modules that belong to different clusters.
When some modules share a same primary category in the primary tree (e.g. BP), GO-2D focuses on the combined category containing the most specific secondary category in the secondary tree (e.g. CC).
At a stringent cutoff p = 0.01, genes in the 7 modules share a total of 65 GO categories, and 105 at p = 0.05, whilst random gene sets of the same sizes and the scattered gene set do not share any GO category even at a very loose cut off p = 0.10.
All WIST-based LIMS modules share a common user interface, which links data from related workflows (e.g. a prior or subsequent stage in a pipeline) and provides common features such as searching, data filtering and sorting that are essential for navigating the volumes of data produced in a high-throughput research environment.
Despite large sequence variations, all BRD modules share a conserved fold that comprises a left-handed bundle of four α helices (αZ, αA, αB, αC), linked by loop regions of variable length (ZA and BC loops), which line the Kac binding site and determine binding specificity.
In this regard, the MP7 module is highly similar to MN6 sharing several genes, and many of them also with a high degree of connectivity (i.e. DLD and UQCRC2) (see Table 2 and Figure 4 left), but it is still more similar to MP6 and MN7 modules sharing a smaller number of genes, but most of them with highest connectivity values (see Table 2 and Figure 4 Left).
For example, one of the ICMg modules (ICMg module 23) shared a large portion of genes with two modules generated by SSIM SSIMmodulele 4 and 10) (see methods and Additional File 3, Table S1).
MorphoGraphX is built from a collection of loadable modules (shared libraries), centered around an interactive visualization core that exploits the latest features of modern Graphics Processing Units (GPUs).
How to analyze transcriptional response data to identify meaningful gene modules shared by both drugs and diseases is still a critical issue for drug-disease associations and molecular mechanism.
The programme paired up young social specialists with c-suite level heads of offices and, by following a bespoke set of Ogilvy-designed modules, shared social media skill sets upwards into senior management.
